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http://www.unifi.it Requirements Additional Information Eligibility criteria Master’s degree in Computer Engineering or Master’s degree in Artificial Intelligence Eligible destination country/ies
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15 Apr 2026 Job Information Organisation/Company Czech Technical University in Prague Department Department of Control Engineering Research Field Computer science » Modelling tools Researcher
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the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description ETECNIC is a technology company specialized in
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Degree or equivalent Skills/Qualifications Essential Strong background in applied mathematics, mathematical biology, or computational modelling. Experience with partial differential equations (PDEs) and
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Hospital Basel (UKBB), and the Swiss Tropical and Public Health Institute (Swiss TPH). A strong interest in applying mathematical modelling to biological questions and excellent teamwork and communication
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | about 5 hours ago
:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . The research fellow will focus on foundation model-based world model development for embodied intelligence, and
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Deployment Strategies - Model Compression: Investigate techniques such as quantization, pruning, and knowledge distillation to reduce the computational and memory footprint of deep learning models without
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Deadline 3 May 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable Hours Per Week 38.0 Is the job funded through the EU Research Framework Programme? Not funded by a
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computational scientists and experimental biologists, contributing to the advancement of predictive models for cancer initiation, as well as helping identify potential biomarkers for early detection and treatment